lets_plot.geom_step

lets_plot.geom_step(mapping=None, *, data=None, stat=None, position=None, show_legend=None, sampling=None, direction=None, **other_args)

Connect observations in the order in which they appear in the data by stairs.

Parameters

• mapping (FeatureSpec) – Set of aesthetic mappings created by aes() function. Aesthetic mappings describe the way that variables in the data are mapped to plot “aesthetics”.

• data (dict or DataFrame) – The data to be displayed in this layer. If None, the default, the data is inherited from the plot data as specified in the call to ggplot.

• stat (str, default=’identity’) – The statistical transformation to use on the data for this layer, as a string. Supported transformations: ‘identity’ (leaves the data unchanged), ‘count’ (counts number of points with same x-axis coordinate), ‘bin’ (counts number of points with x-axis coordinate in the same bin), ‘smooth’ (performs smoothing - linear default), ‘density’ (computes and draws kernel density estimate).

• position (str or FeatureSpec) – Position adjustment, either as a string (‘identity’, ‘stack’, ‘dodge’, …), or the result of a call to a position adjustment function.

• show_legend (bool, default=True) – False - do not show legend for this layer.

• sampling (FeatureSpec) – Result of the call to the sampling_xxx() function. Value None (or ‘none’) will disable sampling for this layer.

• direction (string, default=’hv’) – ‘hv’ or ‘HV’ stands for horizontal then vertical; ‘vh’ or ‘VH’ stands for vertical then horizontal.

• other_args – Other arguments passed on to the layer. These are often aesthetics settings used to set an aesthetic to a fixed value, like color=’red’, fill=’blue’, size=3 or shape=21. They may also be parameters to the paired geom/stat.

Returns

Geom object specification.

Return type

LayerSpec

Note

geom_step() draws steps between the observations in the order of X.

geom_step() understands the following aesthetics mappings:

• x : x-axis value.

• y : y-axis value.

• alpha : transparency level of a layer. Understands numbers between 0 and 1.

• color (colour) : color of a geometry. Can be continuous or discrete. For continuous value this will be a color gradient between two colors.

• size : line width.

• linetype : type of the line. Codes and names: 0 = ‘blank’, 1 = ‘solid’, 2 = ‘dashed’, 3 = ‘dotted’, 4 = ‘dotdash’, 5 = ‘longdash’, 6 = ‘twodash’.

Examples

>>> import numpy as np
>>> from lets_plot import *
>>> LetsPlot.setup_html()
>>> n = 20
>>> np.random.seed(42)
>>> x = np.arange(n)
>>> y = np.random.randint(5, size=n)
>>> ggplot({'x': x, 'y': y}, aes(x='x', y='y')) + \
>>>     geom_step() + \
>>>     coord_fixed()

>>> import numpy as np
>>> import pandas as pd
>>> from lets_plot import *
>>> LetsPlot.setup_html()
>>> n = 100
>>> np.random.seed(42)
>>> t = np.arange(n)
>>> x = np.cumsum(np.random.normal(size=n).astype(int))
>>> ggplot({'t': t, 'x': x}, aes(x='t', y='x')) + \
>>>     geom_step(direction='vh', color='#f03b20', size=1)